烟叶自动分离及智能定级分拣系统的研究
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太原科技大学

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山西省专利推广实施资助专项(项目编号:20210521);山西省重点研发计划项目资助(项目编号:201903D321012)。


Research of automatic tobacco separating and intelligent grading sorting system
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    摘要:

    当前,科学技术和人工智能的快速发展,为烟叶的自动分离和烟叶质量的自动检测分析提供了有效的方法和手段;针对目前烟叶的分离和分级仍采用传统的人工方式,从而使分级结果的主观性较强,导致分级不具备科学性、客观性等一系列问题的出现,提出对烟叶自动分离及智能分级分拣系统的研究。该系统在设计上以工业计算机为核心,使用Visual Basic编程语言编制软件,应用专家系统结构进行智能控制,采用DCS分布式控制系统,监控各个工段的运行工作,并且详细阐述了该系统实现烟叶的自动分离、智能检测定级、智能分流分拣的过程和系统间各个工段的工作原理。模拟实验测试结果表明,本系统各个工段都运行流畅,烟叶分离效果明显,分级结果的正确率也较高,可以实现对烟叶的有效分离、分级和分拣。

    Abstract:

    At present, the rapid development of science and technology and artificial intelligence provides effective methods and means for automatic separation of tobacco leaves and automatic detection and analysis of tobacco quality.?At present, the separation and classification of tobacco leaves are still carried out in the traditional manual way, which makes the classification results highly subjective and leads to a series of problems such as lack of scientific and objective classification. so this paper put forward the research of automatic separation of tobacco leaves and intelligent classification sorting system.The system in the design of industrial computer as the core, the use of Visual Basic programming language programming software, the application of expert system structure for intelligent control, DCS distributed control system, monitoring the operation of each section.The process of tobacco leaf automatic separation, intelligent detection and grading, intelligent sorting and the working principle of each section of the system were described in detail.The results of simulation experiment show that the system runs smoothly in each section, the separation effect is obvious, the accuracy of classification results is high, and the effective separation, classification and sorting of tobacco leaves can be realized.

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李婷,王兴,卫玲芝,高菲,张晋塬,王雨竹.烟叶自动分离及智能定级分拣系统的研究计算机测量与控制[J].,2022,30(6):157-162.

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  • 收稿日期:2021-11-16
  • 最后修改日期:2021-12-27
  • 录用日期:2021-12-31
  • 在线发布日期: 2022-06-21
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